Two-minute walk distance reference equations for middle-aged and elderly Chinese individuals with obesity

Author:

Zhang Jia,Zou Yingying,Wang Zibin,Chen Xiaoshu,Pan Jingye,Yu Haizhu,Li Enci,Zou HeORCID

Abstract

Background and objective While the six-minute walk test (6MWT) is often used to assess exercise capacity, the less well-known two-minute walk test (2MWT) is more feasible for some patients. In previous studies, we developed reference equations for the two-minute walk distance (2MWD) for healthy Chinese adults. However, our study did not recruit people with obesity, and the reference equations did not apply to participants with a body mass index (BMI) > 30 kg/m2. The main objective of this study was to establish reference equations for the 2MWD among middle-aged and elderly Chinese individuals with obesity. Methods A total of 295 individuals were recruited. The participants underwent two 2MWTs, with the longer of the two 2MWDs used for further analyses. The reference equations for the 2MWD were developed using stepwise multiple regression analysis. The newly established equations for the 2MWD were then compared with the existing equations. Results The mean 2MWD of the participants was 176±20 m. Age and BMI were identified as independent factors that influenced the 2MWD and explained 28% and 32% of the variance in walking distance for the male and female groups, respectively. The reference equations for the 2MWD were as follows: Male:2MWD(m)=443.058[age(yr)x6.782]+[BMI(kg/m2)x0.847];r2=0.283Female:2MWD(m)=300.160[age(yr)x0.841][BMI(kg/m2)x2.541];r2=0.315 Conclusion This study resulted in the development of reference equations for predicting 2MWD among middle-aged and elderly Chinese people with obesity. These equations will be a clinically valuable tool for evaluating functional capacity, determining prognoses and monitoring treatment in middle-aged and elderly Chinese people with obesity.

Funder

Science and Technology Plan Project of Wenzhou, China

Medical Science and Technology Project of Zhejiang Province

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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